Data Science Specialist

At this time, Ally will not sponsor a new applicant for employment authorization for this position. We are looking for a passionate and dedicated Data Scientist with solid technical skills, good communication, and analytical experience. This person will be responsible for estimating and monitoring various consumer auto originations credit risk metrics and their impact to pricing of consumer products. They will also build tools for analyzing price sensitivities and optimizing pricing strategies. The ideal candidate is familiar with data science techniques and machine learning algorithms and can apply them in a dynamic business environment to support decisions with direct impact to the bottom line. Knowledge of predictive analytics, SQL and big data management, Python (or R) programming are needed as the foundation for this role.

• Heavy emphasis on advanced coding and ability to create predictive and statistical models from the ground up.
• Incorporates the use of algorithms into analytics and modeling.
• Has knowledge of data and business acumen.
• Utilizes machine learning and experimental design techniques.
• Builds credit risk and pricing predictive and prescriptive analytical tools in support of data driven business decisions.
• Applies optimization algorithms to identify opportunities for achieving specific business objectives, such as minimizing risks and maximizing profitability.
• Streamlines data usage and interfaces information dashboards to create consistency and efficiencies across business processes.
• Learns how to apply best practices and to filter data into meaningful information.

• Minimum 1 year of work experience in analytics is required.
• Bachelor's degree or higher is needed.
• Must be technically proficient in Snowflake SQL, Python, and visualization tools (e.g., Power BI).
• Some experience with credit risk analytics and pricing optimization are preferred.
• Knowledge of practical application of supervised and non-supervised machine learning algorithms is a plus (e.g., logistic regression, linear regression, decision trees, survival analysis, ensemble learning, cluster analysis, linear and non-linear programming).
• Ability to organize and explore large data sets to identify trends/insights as well as translate results into business recommendations.
• Ability to manage multiple projects and assignments, prioritize, and meet deadlines.
• Good communication (written and oral) and interpersonal skills.
• Ability to work independently and to collaborate with team members and business partners on assignments.

• Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).
• Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.
• Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
• Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.
• Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.
• Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity.
• To view more detailed information about Ally’s Total Rewards, please visit this link: https://www.ally.com/content/dam/pdf/corporate/ally-total-rewards-snapshot.pdf

Who We Are:

Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com.

Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.

We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at hrpolicy@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.